𝔖 Bobbio Scriptorium
✦   LIBER   ✦

gBoost: a mathematical programming approach to graph classification and regression

✍ Scribed by Hiroto Saigo; Sebastian Nowozin; Tadashi Kadowaki; Taku Kudo; Koji Tsuda

Book ID
106453191
Publisher
Springer
Year
2008
Tongue
English
Weight
633 KB
Volume
75
Category
Article
ISSN
0885-6125

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A mathematical programming approach to s
A mathematical programming approach to service restoration for distribution systems
✍ Takeshi Nagata; Jun Jin; Syuichi Hatakeyama; Hiroshi Sasaki πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 192 KB

## Abstract This paper aims to develop a suitable power system restoration method by using mathematical programming (MP). Generally, the problem of determining the target configuration can be formulated as a mixed integer programming (MIP) problem. Whether or not each branch is included in a target

A mathematical programming approach to t
A mathematical programming approach to the scheduling of sorting operations
✍ Frederic H. Murphy; Edward A. Stohr πŸ“‚ Article πŸ“… 1978 πŸ› John Wiley and Sons 🌐 English βš– 848 KB

## Abstract In this paper we describe an approach to the scheduling and/or real‐time control of sorting operations in the presence of deadlines. The problem arises in the postal service where mail has to be sorted by zip codes, and in the banking system where checks have to be sorted according to t

A mathematical programming approach for
A mathematical programming approach for improving the robustness of least sum of absolute deviations regression
✍ Avi Giloni; Bhaskar Sengupta; Jeffrey S. Simonoff πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 261 KB

## Abstract This paper discusses a novel application of mathematical programming techniques to a regression problem. While least squares regression techniques have been used for a long time, it is known that their robustness properties are not desirable. Specifically, the estimators are known to be

Canonical partial least squaresβ€”a unifie
Canonical partial least squaresβ€”a unified PLS approach to classification and regression problems
✍ Ulf G. Indahl; Kristian Hovde Liland; Tormod NΓ¦s πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 303 KB πŸ‘ 1 views

## Abstract We propose a new data compression method for estimating optimal latent variables in multi‐variate classification and regression problems where more than one response variable is available. The latent variables are found according to a common innovative principle combining PLS methodolog